Update main.py
Browse files
main.py
CHANGED
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@@ -7,7 +7,6 @@ from typing import Any, Dict, List, Optional
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import httpx
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import uvicorn
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from dotenv import load_dotenv
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from fastapi import FastAPI, HTTPException, Depends
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from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
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from pydantic import BaseModel
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@@ -20,26 +19,43 @@ logging.basicConfig(
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)
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logger = logging.getLogger(__name__)
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# Load Environment Variables
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load_dotenv()
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app = FastAPI()
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# Configuration Constants
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APP_SECRET = os.getenv("APP_SECRET", "666")
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ACCESS_TOKEN = os.getenv("SD_ACCESS_TOKEN", "")
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'accept': '*/*',
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'accept-
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'authorization': f'Bearer {ACCESS_TOKEN}',
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'
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'origin': 'chrome-extension://
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'pragma': 'no-cache',
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'priority': 'u=1, i',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'none',
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'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/
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}
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# Updated ALLOWED_MODELS List (No Duplicates)
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@@ -59,25 +75,28 @@ ALLOWED_MODELS = [
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# Configure CORS
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # Restrict this to specific origins in production
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allow_credentials=True,
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allow_methods=["*"], #
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allow_headers=["*"], # Allow all headers
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)
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# Security
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security = HTTPBearer()
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# Pydantic Models
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class Message(BaseModel):
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role: str
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content: str
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class ChatRequest(BaseModel):
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model: str
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messages: List[Message]
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stream: Optional[bool] = False
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# Utility Functions
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def create_chat_completion_data(content: str, model: str, finish_reason: Optional[str] = None) -> Dict[str, Any]:
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return {
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@@ -95,6 +114,7 @@ def create_chat_completion_data(content: str, model: str, finish_reason: Optiona
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"usage": None,
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}
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def verify_app_secret(credentials: HTTPAuthorizationCredentials = Depends(security)):
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if credentials.credentials != APP_SECRET:
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logger.warning(f"Invalid APP_SECRET provided: {credentials.credentials}")
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@@ -102,6 +122,7 @@ def verify_app_secret(credentials: HTTPAuthorizationCredentials = Depends(securi
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logger.info("APP_SECRET verified successfully.")
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return credentials.credentials
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# CORS Preflight Options Endpoint
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@app.options("/hf/v1/chat/completions")
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async def chat_completions_options():
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@@ -114,15 +135,13 @@ async def chat_completions_options():
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},
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)
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# Replace Escaped Newlines
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def replace_escaped_newlines(input_string: str) -> str:
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return input_string.replace("\\n", "\n")
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# List Available Models
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@app.get("/hf/v1/models")
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async def list_models():
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return {"object": "list", "data": ALLOWED_MODELS}
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# Chat Completions Endpoint
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@app.post("/hf/v1/chat/completions")
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async def chat_completions(
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@@ -133,7 +152,7 @@ async def chat_completions(
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# Validate Selected Model
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if request.model not in [model['id'] for model in ALLOWED_MODELS]:
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allowed = ', '.join(model['id'] for model in ALLOWED_MODELS)
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logger.error(f"Model {request.model} is not allowed.")
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raise HTTPException(
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status_code=400,
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detail=f"Model '{request.model}' is not allowed. Allowed models are: {allowed}",
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@@ -141,48 +160,48 @@ async def chat_completions(
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logger.info(f"Using model: {request.model}")
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# Generate a
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logger.debug(f"Generated UUID: {uuid_str}")
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# Prepare JSON Payload for External API
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[
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f"{'User' if msg.role == 'user' else 'Assistant'}: {msg.content}"
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for msg in request.messages
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]
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)
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'
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'
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'
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'
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'search': False,
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'auto_search': False,
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'filter_search_history': False,
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'from': 'chat',
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'group_id': 'default',
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'chat_models': [
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'files': [],
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'prompt_template': {
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'key':
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'attributes': {
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'lang':
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},
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},
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'tools': {
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'auto':
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'search',
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'text_to_image',
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'data_analysis',
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],
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},
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'extra_info': {
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'origin_url':
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'origin_title':
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},
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}
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@@ -193,8 +212,8 @@ async def chat_completions(
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try:
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async with client.stream(
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'POST',
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'https://sider.ai/api/
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headers=
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json=json_data,
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timeout=120.0
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) as response:
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@@ -237,7 +256,7 @@ async def chat_completions(
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full_response += data["choices"][0]["delta"]["content"]
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except json.JSONDecodeError:
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logger.warning(f"Failed to decode JSON from chunk: {chunk}")
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# Final Response Structure
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return {
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"id": f"chatcmpl-{uuid.uuid4()}",
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"usage": None,
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}
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# Entry Point
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=7860)
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import httpx
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import uvicorn
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from fastapi import FastAPI, HTTPException, Depends
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from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
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from pydantic import BaseModel
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)
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logger = logging.getLogger(__name__)
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# Load Environment Variables for Sensitive Information
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from dotenv import load_dotenv
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load_dotenv()
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app = FastAPI()
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# Configuration Constants (Hardcoded as per requirements)
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APP_NAME = "ChitChat_Chrome_Ext"
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APP_VERSION = "4.28.0"
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ORIGIN_URL = "chrome-extension://difoiogjjojoaoomphldepapgpbgkhkb/standalone.html?from=sidebar"
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ORIGIN_TITLE = "Sider"
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TZ_NAME = "Asia/Karachi"
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PROMPT_TEMPLATE_KEY = "artifacts"
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PROMPT_TEMPLATE_LANG = "original"
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TOOLS_AUTO = ["search", "text_to_image", "data_analysis"]
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# Security Configuration
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APP_SECRET = os.getenv("APP_SECRET", "666")
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ACCESS_TOKEN = os.getenv("SD_ACCESS_TOKEN", "")
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if not ACCESS_TOKEN:
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logger.error("SD_ACCESS_TOKEN is not set in the environment variables.")
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raise RuntimeError("SD_ACCESS_TOKEN is required but not set.")
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# Outgoing Request Headers (As per provided sample)
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OUTGOING_HEADERS = {
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'accept': '*/*',
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'accept-encoding': 'gzip, deflate, br, zstd',
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'accept-language': 'en-US,en;q=0.9',
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'authorization': f'Bearer {ACCESS_TOKEN}',
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'content-type': 'application/json',
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'origin': 'chrome-extension://difoiogjjojoaoomphldepapgpbgkhkb',
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'priority': 'u=1, i',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'none',
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'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36',
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}
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# Updated ALLOWED_MODELS List (No Duplicates)
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# Configure CORS
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # ⚠️ IMPORTANT: Restrict this to specific origins in production for security
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allow_credentials=True,
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allow_methods=["*"], # Allow all HTTP methods
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allow_headers=["*"], # Allow all headers
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)
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# Security Dependency
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security = HTTPBearer()
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# Pydantic Models
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class Message(BaseModel):
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role: str
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content: str
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class ChatRequest(BaseModel):
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model: str
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messages: List[Message]
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stream: Optional[bool] = False
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# Utility Functions
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def create_chat_completion_data(content: str, model: str, finish_reason: Optional[str] = None) -> Dict[str, Any]:
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return {
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"usage": None,
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}
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def verify_app_secret(credentials: HTTPAuthorizationCredentials = Depends(security)):
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if credentials.credentials != APP_SECRET:
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logger.warning(f"Invalid APP_SECRET provided: {credentials.credentials}")
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logger.info("APP_SECRET verified successfully.")
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return credentials.credentials
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+
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# CORS Preflight Options Endpoint
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@app.options("/hf/v1/chat/completions")
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async def chat_completions_options():
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},
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)
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# List Available Models
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@app.get("/hf/v1/models")
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async def list_models():
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return {"object": "list", "data": ALLOWED_MODELS}
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# Chat Completions Endpoint
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@app.post("/hf/v1/chat/completions")
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async def chat_completions(
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# Validate Selected Model
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if request.model not in [model['id'] for model in ALLOWED_MODELS]:
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allowed = ', '.join(model['id'] for model in ALLOWED_MODELS)
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logger.error(f"Model '{request.model}' is not allowed.")
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raise HTTPException(
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status_code=400,
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detail=f"Model '{request.model}' is not allowed. Allowed models are: {allowed}",
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logger.info(f"Using model: {request.model}")
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# Generate a unique CID for each request
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cid = str(uuid.uuid4()).replace("-", "").upper()[:12] # Example: C0MES13070J1
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logger.debug(f"Generated CID: {cid}")
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# Prepare JSON Payload for External API
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if not request.messages:
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prompt_text = "make a dog"
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else:
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prompt_text = "\n".join(
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[
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f"{'User' if msg.role == 'user' else 'Assistant'}: {msg.content}"
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for msg in request.messages
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]
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)
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json_data = {
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'prompt': prompt_text,
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'stream': request.stream,
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'app_name': APP_NAME,
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'app_version': APP_VERSION,
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'tz_name': TZ_NAME,
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'cid': cid,
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'model': request.model,
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'search': False,
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'auto_search': False,
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'filter_search_history': False,
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'from': 'chat',
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'group_id': 'default',
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'chat_models': [], # As per the sample payload
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'files': [],
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'prompt_template': {
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'key': PROMPT_TEMPLATE_KEY,
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'attributes': {
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'lang': PROMPT_TEMPLATE_LANG,
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},
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},
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'tools': {
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'auto': TOOLS_AUTO,
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},
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'extra_info': {
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'origin_url': ORIGIN_URL,
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'origin_title': ORIGIN_TITLE,
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},
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}
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try:
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async with client.stream(
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'POST',
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'https://sider.ai/api/v3/completion/text', # Updated endpoint
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headers=OUTGOING_HEADERS,
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json=json_data,
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timeout=120.0
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) as response:
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full_response += data["choices"][0]["delta"]["content"]
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except json.JSONDecodeError:
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logger.warning(f"Failed to decode JSON from chunk: {chunk}")
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# Final Response Structure
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return {
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"id": f"chatcmpl-{uuid.uuid4()}",
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"usage": None,
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}
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+
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# Entry Point
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=7860)
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